Aktuelle Masterarbeitsthemen der Forschungsgruppe Computational Pharmacy
Current Master's Theses-Projects of the Research Group Computational Pharmacy
| Forschungsgebiet Research Field | Kontakt Betreuer/in Contact Supervisor | MSc Pharmazie | MSc Drug Sciences | Bemerkungen Comments |
|---|---|---|---|---|
| Deep Generative models in Drug and Molecular Sciences | Justin Diamond | no | yes | |
| Investigation of structural properties of novel human dehydrogenase | Prof. Dr. Martin Smieško | no | yes | |
| High throughput virtual screening for identification of novel dehydrogenase inhibitors | Prof. Dr. Martin Smieško | no | yes | |
| Investigating conformational changes of peptides | Roman Aschwanden | no | yes | |
| From in silico to in vitro: Predicting new peptide inhibitors and testing binding affinity with established assays. | Roman Aschwanden Prof. Dr. Martin Smieško Stephanie Vogt Prof. Dr. Daniel Ricklin | no | yes | Cooperation with Computational Pharmacy group, Prof. Dr. Daniel Ricklin |
| Generation of novel small molecule inhibitors based on small cyclic peptides | Prof. Dr. Martin Smieško | yes | yes | |
| Towards a Closed Loop System for the Design, Synthesis and Evaluation of Peptide-Based Serine Protease Inhibitors | Prof. Dr. Markus Lill | yes | yes | Cooperation with Computational Pharmacy group, Prof. Dr. Daniel Ricklin |
| Using artificial intelligence for next generation modeling of protein-ligand interactions | yes | yes | ||
| Exploring the accuracy of various docking methods for off-target prediction | Prof. Dr. Martin Smieško | yes | yes | |
| Comprehensive physico-chemical and toxicological characterization of polymer building blocks (oligomers) using in silico methods | Prof. Dr. Martin Smieško | yes | yes | |
| Development of methods and models for off-target binding prediction | Prof. Dr. Martin Smieško | yes | yes |